NVIDIA GeForce RTX 5070 SUPER vs NVIDIA RTX 3500 Embedded Ada Generation Comparison

Head-to-Head Benchmarks

The recorded data contains only one benchmark result for this comparison, and it belongs exclusively to the NVIDIA GeForce RTX 5070 SUPER. The RTX 5070 SUPER scores 2690 points in the 3DMark Steel Nomad DX12 test, while the NVIDIA RTX 3500 Embedded Ada Generation has no benchmark entries in the database, resulting in an average benchmark score of zero. This means the head-to-head comparison is limited by missing data on the RTX 3500 Embedded side, so any direct performance delta cannot be computed from the available measurements.

The RTX 5070 SUPER's single benchmark score places it at the 18th percentile among all GPUs in the database. The nearest rivals around this score are the NVIDIA Quadro K1100M with an average score of 2664, the NVIDIA GeForce GT 1030 at 2662, the Intel Arc Pro B50 at 2660, and the NVIDIA GeForce GT 440 at 2645. The RTX 5070 SUPER leads the Quadro K1100M by 1 percent, the GT 1030 by 1.1 percent, the Arc Pro B50 by 1.1 percent, and the GT 440 by 1.7 percent. These deltas are narrow, indicating that the RTX 5070 SUPER's measured performance sits in a crowded cluster where small percentage differences separate adjacent entries.

The RTX 3500 Embedded Ada Generation has no recorded benchmark score, no nearest rivals listed, and no average benchmark score, which prevents any quantitative comparison between the two cards. The database shows zero wins for each product in the head-to-head section, confirming that no direct competitive benchmark results exist for this pairing.

What can be stated from the available data is that the RTX 5070 SUPER delivers a measurable result in a modern DirectX 12 workload, whereas the RTX 3500 Embedded Ada Generation lacks any recorded performance data. The absence of benchmarks for the RTX 3500 Embedded means its position in the database is defined solely by its specification sheet and its 50th percentile ranking among all GPUs, a ranking that appears to derive from factors other than measured benchmark scores.

FAQ

Q: Which GPU has the higher average benchmark score?

A: The NVIDIA GeForce RTX 5070 SUPER has an average benchmark score of 2690, while the NVIDIA RTX 3500 Embedded Ada Generation has an average benchmark score of 0 due to having no recorded benchmarks.

Q: How does the RTX 5070 SUPER's single benchmark result compare to its nearest rivals?

A: The RTX 5070 SUPER scores 2690 in 3DMark Steel Nomad DX12, which is 1 percent higher than the NVIDIA Quadro K1100M (2664), 1.1 percent higher than the NVIDIA GeForce GT 1030 (2662), 1.1 percent higher than the Intel Arc Pro B50 (2660), and 1.7 percent higher than the NVIDIA GeForce GT 440 (2645).

Q: What are the memory specifications for each GPU?

A: The RTX 5070 SUPER uses 18 GB of GDDR7 memory on a 192-bit bus with 672.0 GB/s bandwidth and 28 Gbps effective memory clock. The RTX 3500 Embedded Ada Generation uses 12 GB of GDDR6 memory on a 192-bit bus with 432.0 GB/s bandwidth and 18 Gbps effective memory clock.

Q: Which GPU has more shading units and tensor cores?

A: The RTX 5070 SUPER has 6400 shading units and 200 tensor cores. The RTX 3500 Embedded Ada Generation has 5120 shading units and 160 tensor cores.

Q: What is the power consumption difference between the two cards?

A: The RTX 5070 SUPER has a TDP of 275 W and requires a 1x 16-pin power connector, while the RTX 3500 Embedded Ada Generation has a TDP of 100 W, requires no power connectors, and lists a suggested PSU of 300 W.

Q: Do both GPUs support the same graphics APIs?

A: Yes, both the RTX 5070 SUPER and the RTX 3500 Embedded Ada Generation support DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4.

Architecture Differences

The two GPUs are built on different architectures. The NVIDIA GeForce RTX 5070 SUPER uses the GB205 chip based on Blackwell 2.0 architecture, while the NVIDIA RTX 3500 Embedded Ada Generation uses the AD104 chip based on Ada Lovelace architecture. Both are manufactured by TSMC on a 5 nm process node, but the underlying designs differ substantially.

The RTX 5070 SUPER integrates 31,100 million transistors on a 263 mm² die, resulting in a transistor density of 118.3 million transistors per square millimeter. The RTX 3500 Embedded Ada Generation integrates 35,800 million transistors on a larger 294 mm² die, yielding a slightly higher transistor density of 121.8 million transistors per square millimeter. Despite having fewer total transistors, the RTX 5070 SUPER packs more functional units: 6400 shading units versus 5120, 200 texture mapping units versus 160, 80 render output units versus 64, 50 ray tracing cores versus 40, and 200 tensor cores versus 160.

The Blackwell 2.0 architecture in the RTX 5070 SUPER delivers higher clock speeds. Its base clock is 2325 MHz with a boost clock of 2512 MHz. The Ada Lovelace architecture in the RTX 3500 Embedded runs at a base clock of 1725 MHz and a boost clock of 2250 MHz. The RTX 5070 SUPER's higher clock speeds, combined with its larger number of execution units, produce significantly higher compute throughput: 32.15 TFLOPS for FP32 and FP16 (1:1) versus 23.04 TFLOPS for both precision levels on the RTX 3500 Embedded.

Memory architecture also differs. The RTX 5070 SUPER uses GDDR7 memory operating at 1750 MHz with 28 Gbps effective speed, delivering 672.0 GB/s bandwidth across an 18 GB capacity on a 192-bit bus. The RTX 3500 Embedded uses GDDR6 memory at 2250 MHz with 18 Gbps effective speed, providing 432.0 GB/s bandwidth across a 12 GB capacity on the same 192-bit bus width. The memory clock representation differs between the two, with the RTX 5070 SUPER listing a base memory clock of 1750 MHz and the RTX 3500 Embedded listing 2250 MHz, though both are expressed as effective data rates in their respective benchmarks.

Pixel and texture fill rates follow the same pattern. The RTX 5070 SUPER achieves 201.0 GPixel/s and 502.4 GTexel/s, while the RTX 3500 Embedded achieves 144.0 GPixel/s and 360.0 GTexel/s. The RTX 5070 SUPER's advantage in raw throughput is consistent across all measured compute metrics.

Specification Differences

The two cards differ across nearly every specification category. The RTX 5070 SUPER belongs to the GeForce 50-series with the GB205 chip on Blackwell 2.0 architecture. The RTX 3500 Embedded Ada Generation belongs to the GeForce 30-series with the AD104 chip on Ada Lovelace architecture, and its generation field lists "Ada-MW" with a line break character.

Clock speeds diverge sharply: the RTX 5070 SUPER runs at 2325 MHz base and 2512 MHz boost, whereas the RTX 3500 Embedded runs at 1725 MHz base and 2250 MHz boost. Memory configurations differ in capacity (18 GB versus 12 GB), type (GDDR7 versus GDDR6), and bandwidth (672.0 GB/s versus 432.0 GB/s), though both use a 192-bit bus.

Compute resources favor the RTX 5070 SUPER: 6400 shading units versus 5120, 200 TMUs versus 160, 80 ROPs versus 64, 50 RT cores versus 40, and 200 tensor cores versus 160. Pixel rate is 201.0 GPixel/s versus 144.0 GPixel/s, texture rate is 502.4 GTexel/s versus 360.0 GTexel/s, and FP32/FP16 throughput is 32.15 TFLOPS versus 23.04 TFLOPS.

Power and physical characteristics differ substantially. The RTX 5070 SUPER has a 275 W TDP, is dual-slot, uses a 1x 16-pin power connector, and measures 245 mm in length, 115 mm in height, and 40 mm in width. The RTX 3500 Embedded has a 100 W TDP, is an IGP form factor with no power connectors, lists a 300 W suggested PSU, and has no recorded dimensions. The RTX 5070 SUPER uses PCIe 5.0 x16, while the RTX 3500 Embedded uses PCIe 4.0 x16.

Display outputs differ: the RTX 5070 SUPER provides 1x HDMI 2.1b and 3x DisplayPort 2.1b outputs, while the RTX 3500 Embedded has no outputs. The RTX 5070 SUPER was released on 2025-12-31, while the RTX 3500 Embedded was released on 2023-03-20. The RTX 3500 Embedded lists its predecessor as Ampere-MW and successor as Blackwell-MW, while the RTX 5070 SUPER lists no predecessor or successor. Both are currently marked as Active in production status.

Where Each One Wins

The RTX 5070 SUPER wins on every measurable compute metric in the database. Its FP32 throughput of 32.15 TFLOPS is 39.5 percent higher than the RTX 3500 Embedded's 23.04 TFLOPS. Its memory bandwidth of 672.0 GB/s exceeds the RTX 3500 Embedded's 432.0 GB/s by 55.6 percent. Its pixel rate of 201.0 GPixel/s is 39.6 percent higher than 144.0 GPixel/s, and its texture rate of 502.4 GTexel/s is 39.6 percent higher than 360.0 GTexel/s. The RTX 5070 SUPER also provides 50 percent more memory capacity (18 GB versus 12 GB) and uses faster GDDR7 memory.

The RTX 5070 SUPER's higher clocks, larger execution unit counts, and newer Blackwell 2.0 architecture give it a decisive edge in pure graphics workload potential. Its PCIe 5.0 interface doubles the bandwidth available on the RTX 3500 Embedded's PCIe 4.0 connection, and its display outputs make it suitable for direct monitor connection, whereas the RTX 3500 Embedded has no outputs and would require a separate display path.

The RTX 3500 Embedded Ada Generation wins in power efficiency and integration. Its 100 W TDP is less than half the RTX 5070 SUPER's 275 W TDP, and it requires no power connectors, making it suitable for embedded or mobile applications where power delivery is constrained. Its IGP form factor with no dimensions and no display outputs indicates a board-level integration design rather than a standalone card. The RTX 3500 Embedded also has a longer production history, having been released in March 2023 versus the RTX 5070 SUPER's December 2025 release, and it lists a clear predecessor and successor in its product line.

In terms of database ranking, the RTX 3500 Embedded sits at the 50th percentile among all GPUs, while the RTX 5070 SUPER sits at the 18th percentile based on its single benchmark result. This ranking discrepancy reflects the lack of benchmark data for the RTX 3500 Embedded rather than direct performance comparison. The RTX 5070 SUPER's measured score of 2690 places it among older, lower-performing cards in the database, which may indicate that its single Steel Nomad result does not fully represent its capability across other workloads.

For use cases involving high-resolution gaming, content creation, or compute-heavy tasks requiring maximum throughput, the RTX 5070 SUPER's superior specifications make it the stronger choice. For power-constrained embedded systems, industrial applications, or designs requiring a compact IGP solution without discrete power connections, the RTX 3500 Embedded Ada Generation offers a lower-power alternative with adequate compute resources for its intended segment.